Fast local reduced basis updates for the efficient reduction of nonlinear systems with hyper-reduction
David Amsallem(Meta (United States)), Kyle M. Washabaugh(Vaughn College of Aeronautics and Technology), Matthew J. Zahr(University of Notre Dame)
Cited by 105
Related Papers
Interpolation Method for Adapting Reduced-Order Models and Application to Aeroelasticity
|AIAA Journal|2008|680
The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows
|Journal of Computational Physics|2013|657
Nonlinear model order reduction based on local reduced‐order bases
|International Journal for Numerical Methods in Engineering|2012|480
An Online Method for Interpolating Linear Parametric Reduced-Order Models
|SIAM Journal on Scientific Computing|2011|318
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
|Computer Methods in Applied Mechanics and Engineering|2022|281